Retail · 2025
Context-aware automation that scaled support without scaling headcount
A RAG-based conversational agent grounded in official technical literature resolved routine inquiries autonomously and cut unnecessary field-service dispatch.
A high-growth security retailer — Retail · Security & surveillance hardware
Client
A high-growth security retailerRetail · Security & surveillance hardware
Technology stack
ROI
198% over 18 months, payback in 7 months.
Client overview
A high-growth retailer specializing in high-end security and surveillance hardware saw support demand climb with its install base. Because the products demand technical precision, inquiries were complex — intricate configuration questions and critical troubleshooting — and repetitive queries overwhelmed the support team, keeping them from high-value escalations.
Business challenge
Manual support could no longer scale with sales. Routine device-configuration requests created operational bottlenecks, technical knowledge stayed locked in dense manuals and SOPs, and the process for deciding whether a technician visit was required was slow and manual — causing unnecessary dispatches and delayed resolutions for real hardware failures.
Approach
We converted technical documentation into an active, intelligent asset rather than deploying a generic chatbot. We engineered a verified knowledge base from product manuals, SOPs, and historical support data; designed a retrieval-augmented (RAG) conversational agent grounded strictly in approved literature; built workflow logic gates separating user-fixable issues from service-required failures; and integrated the agent with internal service-management systems for seamless field-service scheduling.
Business impact
A significant share of routine technical inquiries now resolves autonomously, freeing the support team for higher-complexity cases. Intelligent dispatch filtering sharply reduced no-fault-found technician visits, lowering field-service cost. Customers receive instant, accurate assistance around the clock, and every recommendation stays tethered to the latest approved documentation — preserving safety and reliability standards.